Insilico Search for Potential Vaccine Candidates in Helicobacter Pylori Genome
Pavithra Sundaramurthi, Department of Bio Technology, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 9 May 2015 | Revised Manuscript received on 25 May 2015 | Manuscript Published on 30 May 2015 | PP: 1-11 | Volume-4 Issue-12, May 2015 | Retrieval Number: L20480541215/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Availability of genome sequences of pathogens has provided a tremendous amount of information that can be useful in drug target and vaccine target identification. The proteins/ peptides vaccines that could elicit the mucosal immune response are of great interest as potential vaccines. Recent new developments in the field of bioinformatics, genomics and proteomics have triggered the development of the insilico approach of vaccine design. This study follows the approach of ‘reverse vaccinology’ which employs the whole genome sequencing and advances in bioinformatics to identify vaccine candidates. The completely sequences genome of Helicobacter pylori 26695 (NC_000915) comprising of 1576 electronically annotated ORFs were analyzed in silico using a multi step computational screen to identify potential vaccine candidates. The selection parameters used were cellular localization, sequence similarity to known virulence factors and additional filtering criteria such as size. These screening criteria resulted in the selection of 316 ORFs with known and hypothetical proteins as potential vaccine candidates.
Keywords: In Silico, Reverse Vaccinology, Vaccine Candidates, Virulence Factors.
Scope of the Article: Bio-Science and Bio-Technology